Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Zoominfo/zoominfo-mcp-plugin --skill renewal-prepgit clone --depth 1 https://github.com/Zoominfo/zoominfo-mcp-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/renewal-prep)<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/renewal-prep"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/renewal-prep/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/renewal-prep"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/renewal-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00123 | $0.00736 |
| Opus 5 | $0.00062 | $0.00368 |
| Sonnet 5 | $0.00025 | $0.00147 |
| Haiku 4.5 | $0.00012 | $0.00074 |
Grade A, and why
renewal-prep scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Renewal Prep
Build the case and the risk map for a renewal: where value has landed, what could derail it, and who decides — grounded in what was actually said.
Prerequisites
conversation_intelligence requires at least one connected meeting or email source; conversation_intelligence and account_research consume AI credits. browse_engagements (optional cadence check) is free and needs an active integration. If no conversation data exists, build from account_research and say the value/risk read is limited, pointing the user to their ZoomInfo admin.
Input
Provided via $ARGUMENTS:
- Account (required) — ZoomInfo company ID (preferred), or a name/domain to resolve via
search_companies. - Renewal details (ask if not given) — the renewal date, term, and ARR are often not in ZoomInfo data. Do not assume them. If they matter to the brief and were not provided, ask the user before drafting.
Workflow
- Resolve the account. Use the ZoomInfo ID directly, or resolve a name/domain via
search_companies. - Confirm the renewal basics. If the renewal date/term/value are not supplied and the brief depends on them, ask the user once. Do not invent a renewal date — an unprompted wrong date is worse than an acknowledged unknown.
- Gather evidence. Run
conversation_intelligencescoped to the account for value moments (wins, outcomes, positive signals customers voiced), risks and unresolved concerns, and stakeholder engagement. Pullaccount_researchfor deal history and relationship context. Optionally usebrowse_engagementsfor recent cadence. Keep CI scoped to the account; it sees only the last few engagements. - Assemble the brief. Make the renewal case from evidence (specific value the customer acknowledged), map the risks with handles, and flag any assumption you could not verify.
Output Format
Renewal prep — [Company]
Renewal basics — date, term, ARR if known; otherwise "not provided — confirm with the user" (do not guess).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 49 lines · 123 tokens per session scan A b6b2ddc5cd55
renewal-prep is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed 6d ago), licensed MIT. It adds 123 tokens to every session and 736 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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